Drimva

Anthropic

Research Operations, Reinforcement Learning

$210K–$260K

San Francisco, CA +1 · Full-time · Posted Sep 22, 2026

Location
San Francisco, CA
San Francisco, California, United States
Experience
Years correlate with internal job level requirements; no specific number stated.
Education
Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field demonstrated through coursework, training, or professional experience.
Visa sponsorship
Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa and provides immigration counsel.

About the job

Support reinforcement learning leadership by prioritizing decisions, improving operational processes, and ensuring plans and commitments are communicated and completed.

What you'll do

  • Manage leaders’ time, meeting priorities, and incoming requests; triage, route, and escalate issues.
  • Prepare decision materials, communicate decisions, and track commitments through completion.
  • Anticipate operational and technical bottlenecks, improve recurring processes, and draft organization-wide communications.

What they ask for

  • Technical fluency to engage substantively with researchers and understand model training and RL discussions.
  • Clear writing, strong follow-through, attention to detail, and ability to assess and improve dashboards.
  • Ability to advise and push back on senior stakeholders, influence without authority, and work effectively amid ambiguity.
  • Experience in operations, chief of staff, program management, or a comparable role supporting senior leaders in a fast-moving technical organization.

Nice to have

  • Directly supporting a senior leader in a chief of staff or related function; experience in a research-heavy organization.
  • Experience moving operational work to AI agents or building small tools; familiarity with AI safety or existential risks.

Pay

$210,000 — $260,000 USD base salary

AI focus

Operational support for the reinforcement learning organization that trains Claude to be more capable, reliable, and aligned; preferred experience includes moving routine work to AI agents or building small tools.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)